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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "bayesestdft" in publications use:'
type: software
license: MIT
title: 'bayesestdft: Estimating the Degrees of Freedom of the Student''s t-Distribution
  under a Bayesian Framework'
version: 1.0.0
doi: 10.32614/CRAN.package.bayesestdft
abstract: A Bayesian framework to estimate the Student's t-distribution's degrees
  of freedom is developed. Markov Chain Monte Carlo sampling routines are developed
  as in <https://doi.org/10.3390/axioms11090462> to sample from the posterior distribution
  of the degrees of freedom. A random walk Metropolis algorithm is used for sampling
  when Jeffrey's and Gamma priors are endowed upon the degrees of freedom. In addition,
  the Metropolis-adjusted Langevin algorithm for sampling is used under the Jeffrey's
  prior specification. The Log-normal prior over the degrees of freedom is posed as
  a viable choice with comparable performance in simulations and real-data application,
  against other prior choices, where an Elliptical Slice Sampler is used to sample
  from the concerned posterior.
authors:
- family-names: Roy
  given-names: Somjit
  email: sroy_123@tamu.edu
- family-names: Lee
  given-names: Se Yoon
  email: seyoonlee.stat.math@gmail.com
repository: https://roy-sr-007.r-universe.dev
repository-code: https://github.com/Roy-SR-007/bayesestdft
commit: e72ac816f1b199a70e9f9b0d4e15a65b13e7ecaf
url: https://github.com/Roy-SR-007/bayesestdft
contact:
- family-names: Roy
  given-names: Somjit
  email: sroy_123@tamu.edu